High-priority data skills for cleanup, query work, dashboard design, research synthesis, and budget-oriented modeling.
Use this role pack when analysts need a cleaner path from raw tabular inputs to executive-ready outputs and better decision framing.
Built for analysts and data scientists working on reporting, insight generation, and decision support from messy or fragmented inputs.
Grouped by capability module. Numbers indicate the recommended install order. Start with primary skills before adding alternatives.
Normalize spreadsheet and tabular inputs before analysis starts to compound quality later.
Natural language Excel operations cover CSV/XLSX merging and cleanup in one workflow.
Support SQL and dataframe-heavy work when analysis needs stronger technical execution.
Provides a full interactive analysis environment vs. a single-skill pandas helper.
Package insights into better dashboard structure and presentation for stakeholders.
Provides narrative structure and visualization guidance beyond tool-specific BI advice.
Mix customer or external signals into analysis so numbers get the right narrative context.
Support budget and planning trade-offs when analysis needs to influence the next decision.
Handles real spreadsheet files with formula recalculation rather than generating text-only outputs.
An analyst needs a cleaner path from exported data to reporting.
A BI owner wants stronger dashboards plus better narrative context around the numbers.
A data scientist needs analysis support that directly feeds prioritization or budget decisions.